Edge 338: Inside WebAgent: Google DeepMind's Instruction-Tuned LLM that can Complete Tasks on Websites
Was this email forwarded to you? Sign up here Edge 338: Inside WebAgent: Google DeepMind's Instruction-Tuned LLM that can Complete Tasks on WebsitesThe model combines language understanding and web navigation.The integration between large language models(LLMs) and websites is one of the areas that can unlock a new wave of LLM-powered applications. LLMs have demonstrated remarkable proficiency in a wide array of natural language tasks, ranging from basic arithmetic and logical reasoning to more complex challenges such as commonsense understanding, question answering, and even interactive decision-making. Augmenting these capabilities with web navigation results in a very powerful combination. Recently, Google DeepMind unveiled Web Agent, an LLM-driven autonomous agent capable of navigating real websites based on user instructions. The real-world implementation of web navigation has posed unique challenges, including:... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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